Abstract: A method for optimizing device settings of a plurality of devices includes receiving a performance characteristics target for devices manufactured according to a common design, wherein each device is configurable via device settings and exhibits performance variations over process variations and device operating conditions. The method includes defining a plurality of test cases, each including a combination of a respective device, a process variation, and a device operating condition. The method includes applying a first genetic adaptation algorithm to produce test results, training a neural network to generate predicted performance characteristics, and determining, by using the trained neural network as a surrogate model and applying a second genetic adaptation algorithm, a global set of device settings that collectively achieves the performance characteristics target across the plurality of devices.